Industrial shape detecting system of cold rolling strip

Yang, Lipo; Yu, Bing-qiang; Ding, Dong; Liu, Hong‐Min

doi:10.1007/s11771-012-1102-6

Cited by 19 publications

(24 citation statements)

References 5 publications

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“…19,20) A position error compensation model of a measuring roll without a guide roll was established by Zhao Zhangxian et al, 21) which improved accuracy of flatness control. Yang Lipo et al 22,23) performed an in-depth analysis of influences of zero residual voltage, partial coverage of a channel by strips at the edge of a measuring roll, installation precision of a measuring roll and deflection deformation on flatness signal, and they established a compensation model, which significantly improved accuracy of detection signal and laid a foundation for improving control precision. Temperature field and thermal deformation models of a measuring roll based on heat transfer and thermal elasticity theory were established by WU Haimiao et al 24) Wang Pengfei et al established an accurate compensation model for partial coverage of strips at the edge a channel of a measuring roll and proposed a method for determining flatness of strips when there is a failure in some channels of a measuring roll.…”

Section: Modelling and Application Of Signal Decoupling Of Adjacent Cmentioning

confidence: 99%

Modelling and Application of Signal Decoupling of Adjacent Channels of a Whole-Roller Seamless Flatness Meter

Wang

Liu

et al. 2020

ISIJ Int.

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Section: Modelling and Application Of Signal Decoupling Of Adjacent Cmentioning

confidence: 99%

Modelling and Application of Signal Decoupling of Adjacent Channels of a Whole-Roller Seamless Flatness Meter

Wang

Liu

et al. 2020

ISIJ Int.

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“…Channel widths vary between 52 and 18 mm. Investigations and patented systems tend to limit the risk of scratching the strip such as the works of Kipping et al (2000), Dahlberg and Jonsson (2006), Yang et al (2012). Basically these solutions consist in using a continuous detecting roll not divided into independent slices, several pressure sensors are embedded into the roll underneath the surface.…”

Section: Applicationsmentioning

confidence: 99%

Inverse Cauchy method with conformal mapping: Application to latent flatness defect detection during rolling process

Weisz-Patrault

2015

International Journal of Solids and Structures

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a b s t r a c tIn this paper a semi-analytical inverse Cauchy problem is presented for a finite cylinder with a cylindrical hole under the surface called the detecting roll. Applications to latent flatness defect detection during rolling process are considered. A steel strip wraps at a known angle around the detecting roll. The presented inverse method aims at evaluating the residual stress profile of the strip. The inputs are the displacements and free surface traction at the hole surface and the outputs are the resultant forces per unit length in the contact between the strip and the roll, thus by equilibrium of the strip the residual stress profile is inferred. This paper is based on plane complex elasticity with conformal mapping techniques. Several 2D-computations are performed at several axial positions. This work is theoretical, the measurement device is not available and technical issues are not broached. Some numerical examples with synthetic data are provided in order to evaluate accuracy and noise sensitivity. Results encourage further investigations and technical developments.

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“…In any case, these systems could not be used when products with high quality surfaces were manufactured. Most modern roll-based flatness measurement systems are seamlessly designed [25–27], that is, there is no gap between the strength sensors and the roller surface, or the roller has an extra layer covering these sensors. Although the surface is continuous, measurements are similar to the ones provided by the sliced rollers mentioned above.…”

Section: On-line Flatness Sensors In the Steelmaking Industrymentioning

confidence: 99%

On-Line Flatness Measurement in the Steelmaking Industry

Molleda

Usamentiaga

García

2013

Sensors

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Shape is a key characteristic to determine the quality of outgoing flat-rolled products in the steel industry. It is greatly influenced by flatness, a feature to describe how the surface of a rolled product approaches a plane. Flatness is of the utmost importance in steelmaking, since it is used by most downstream processes and customers for the acceptance or rejection of rolled products. Flatness sensors compute flatness measurements based on comparing the length of several longitudinal fibers of the surface of the product under inspection. Two main different approaches are commonly used. On the one hand, most mechanical sensors measure the tensile stress across the width of the rolled product, while manufacturing and estimating the fiber lengths from this stress. On the other hand, optical sensors measure the length of the fibers by means of light patterns projected onto the product surface. In this paper, we review the techniques and the main sensors used in the steelmaking industry to measure and quantify flatness defects in steel plates, sheets and strips. Most of these techniques and sensors can be used in other industries involving rolling mills or continuous production lines, such as aluminum, copper and paper, to name a few. Encompassed in the special issue, State-of-the-Art Sensors Technology in Spain 2013, this paper also reviews the most important flatness sensors designed and developed for the steelmaking industry in Spain.

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Industrial shape detecting system of cold rolling strip

Cited by 19 publications

References 5 publications

Modelling and Application of Signal Decoupling of Adjacent Channels of a Whole-Roller Seamless Flatness Meter

Modelling and Application of Signal Decoupling of Adjacent Channels of a Whole-Roller Seamless Flatness Meter

Inverse Cauchy method with conformal mapping: Application to latent flatness defect detection during rolling process

On-Line Flatness Measurement in the Steelmaking Industry

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